Triple

T13940361
Position Surface form Disambiguated ID Type / Status
Subject Giorgio Moroder E335230 entity
Predicate alias P39 FINISHED
Object Giorgio E111900 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Giorgio | Statement: [Giorgio Moroder, alias, Giorgio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giorgio
Context triple: [Giorgio Moroder, alias, Giorgio]
  • A. Giorgio chosen
    Giorgio is a given name, primarily the Italian form of George, used as a masculine first name.
  • B. Maurizio
    Maurizio is an Italian given name, equivalent to Maurice, commonly used in Italy and among Italian-speaking communities.
  • C. Giuseppe
    Giuseppe is an Italian masculine given name, equivalent to Joseph in English and widely used across Italy and among Italian communities worldwide.
  • D. Enrico
    Enrico is the given name of Enrico Fermi, the renowned Italian-American physicist who helped develop the first nuclear reactor and made foundational contributions to quantum theory and nuclear physics.
  • E. Gaetano
    Gaetano is an Italian given name, historically notable as the birth name of Saint Cajetan, a prominent 16th-century Catholic priest and reformer.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf6e29881908ddb8efca9a456a3 completed April 14, 2026, 12:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd54fa19c081908e6467ee7b79f02a completed May 8, 2026, 3:14 a.m.
Created at: April 9, 2026, 10:17 p.m.